{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\williamslaro\Documents\Research\Projects\Spatial Methods\Spatial-X\Journal of Politics\Replication\Experiments\Analyze\SLX\Analyze SLX Monte Carlo Experiments.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res} 5 Sep 2019, 10:27:35
{txt}
{com}. 
. *** Model 1: underspecified SLX
. preserve
{txt}
{com}.         local m = 1
{txt}
{com}.         
.         qui foreach x of numlist 1 2 {c -(}
{txt}
{com}. 
.         qui foreach n of numlist 1(1)`end' {c -(}


******************************************************
Theta_1 = -.800000011920929; Theta_2 = -.800000011920929
% of cases where Model 1 (underspecified) recovers the true total effect for x1 = 0
% of cases where Model 1 (underspecified) recovers the true direct effect for x1 = 90.9
% of cases where Model 1 (underspecified) recovers the true zero-order direct effect for x1 = 90.9


% of cases where Model 1 (underspecified) recovers the true total effect for x2 = 0
% of cases where Model 1 (underspecified) recovers the true direct effect for x2 = 93.5
% of cases where Model 1 (underspecified) recovers the true zero-order direct effect for x2 = 93.5





******************************************************
Theta_1 = -.800000011920929; Theta_2 = .0099999997764826
% of cases where Model 1 (underspecified) recovers the true total effect for x1 = 0
% of cases where Model 1 (underspecified) recovers the true direct effect for x1 = 92.1
% of cases where Model 1 (underspecified) recovers the true zero-order direct effect for x1 = 92.1


% of cases where Model 1 (underspecified) recovers the true total effect for x2 = 95.7
% of cases where Model 1 (underspecified) recovers the true direct effect for x2 = 95.9
% of cases where Model 1 (underspecified) recovers the true zero-order direct effect for x2 = 95.9





******************************************************
Theta_1 = -.800000011920929; Theta_2 = .4000000059604645
% of cases where Model 1 (underspecified) recovers the true total effect for x1 = 0
% of cases where Model 1 (underspecified) recovers the true direct effect for x1 = 93.1
% of cases where Model 1 (underspecified) recovers the true zero-order direct effect for x1 = 93.1


% of cases where Model 1 (underspecified) recovers the true total effect for x2 = .2
% of cases where Model 1 (underspecified) recovers the true direct effect for x2 = 95.4
% of cases where Model 1 (underspecified) recovers the true zero-order direct effect for x2 = 95.4





******************************************************
Theta_1 = -.2000000029802322; Theta_2 = -.2000000029802322
% of cases where Model 1 (underspecified) recovers the true total effect for x1 = 37.2
% of cases where Model 1 (underspecified) recovers the true direct effect for x1 = 92.5
% of cases where Model 1 (underspecified) recovers the true zero-order direct effect for x1 = 92.5


% of cases where Model 1 (underspecified) recovers the true total effect for x2 = 78.6
% of cases where Model 1 (underspecified) recovers the true direct effect for x2 = 93.8
% of cases where Model 1 (underspecified) recovers the true zero-order direct effect for x2 = 93.8





******************************************************
Theta_1 = -.2000000029802322; Theta_2 = .0099999997764826
% of cases where Model 1 (underspecified) recovers the true total effect for x1 = 47.7
% of cases where Model 1 (underspecified) recovers the true direct effect for x1 = 95.9
% of cases where Model 1 (underspecified) recovers the true zero-order direct effect for x1 = 95.9


% of cases where Model 1 (underspecified) recovers the true total effect for x2 = 94.6
% of cases where Model 1 (underspecified) recovers the true direct effect for x2 = 94.9
% of cases where Model 1 (underspecified) recovers the true zero-order direct effect for x2 = 94.9





******************************************************
Theta_1 = -.2000000029802322; Theta_2 = .4000000059604645
% of cases where Model 1 (underspecified) recovers the true total effect for x1 = 54.7
% of cases where Model 1 (underspecified) recovers the true direct effect for x1 = 94.5
% of cases where Model 1 (underspecified) recovers the true zero-order direct effect for x1 = 94.5


% of cases where Model 1 (underspecified) recovers the true total effect for x2 = 54.8
% of cases where Model 1 (underspecified) recovers the true direct effect for x2 = 94.4
% of cases where Model 1 (underspecified) recovers the true zero-order direct effect for x2 = 94.4





******************************************************
Theta_1 = .4000000059604645; Theta_2 = -.800000011920929
% of cases where Model 1 (underspecified) recovers the true total effect for x1 = 0
% of cases where Model 1 (underspecified) recovers the true direct effect for x1 = 94.1
% of cases where Model 1 (underspecified) recovers the true zero-order direct effect for x1 = 94.1


% of cases where Model 1 (underspecified) recovers the true total effect for x2 = .1
% of cases where Model 1 (underspecified) recovers the true direct effect for x2 = 95
% of cases where Model 1 (underspecified) recovers the true zero-order direct effect for x2 = 95





******************************************************
Theta_1 = .4000000059604645; Theta_2 = .0099999997764826
% of cases where Model 1 (underspecified) recovers the true total effect for x1 = 0
% of cases where Model 1 (underspecified) recovers the true direct effect for x1 = 93.6
% of cases where Model 1 (underspecified) recovers the true zero-order direct effect for x1 = 93.6


% of cases where Model 1 (underspecified) recovers the true total effect for x2 = 95.6
% of cases where Model 1 (underspecified) recovers the true direct effect for x2 = 95.5
% of cases where Model 1 (underspecified) recovers the true zero-order direct effect for x2 = 95.5





******************************************************
Theta_1 = .4000000059604645; Theta_2 = .4000000059604645
% of cases where Model 1 (underspecified) recovers the true total effect for x1 = 0
% of cases where Model 1 (underspecified) recovers the true direct effect for x1 = 95
% of cases where Model 1 (underspecified) recovers the true zero-order direct effect for x1 = 95


% of cases where Model 1 (underspecified) recovers the true total effect for x2 = 1.7
% of cases where Model 1 (underspecified) recovers the true direct effect for x2 = 96.1
% of cases where Model 1 (underspecified) recovers the true zero-order direct effect for x2 = 96.1



{txt}
{com}. restore
{txt}
{com}. 
. *** Model 2: standard SLX (correct model)
. preserve
{txt}
{com}.         local m = 2
{txt}
{com}. 
.         qui foreach x of numlist 1 2 {c -(}
{txt}
{com}. 
.         qui foreach n of numlist 1(1)`end' {c -(}


******************************************************
Theta_1 = -.800000011920929; Theta_2 = -.800000011920929
% of cases where Model 2 (correct) recovers the true total effect for x1 = 96.1
% of cases where Model 2 (correct) recovers the true indirect effect for x1 = 96.6
% of cases where Model 2 (correct) recovers the true direct effect for x1 = 95.2
% of cases where Model 2 (correct) recovers the true zero-order direct effect for x1 = 95.2
% of cases where Model 2 (correct) recovers the true first-order total effect for x1 = 96.6
% of cases where Model 2 (correct) recovers the true first-order indirect effect for x1 = 96.6


% of cases where Model 2 (correct) recovers the true total effect for x2 = 93.1
% of cases where Model 2 (correct) recovers the true indirect effect for x2 = 94.1
% of cases where Model 2 (correct) recovers the true direct effect for x2 = 94.3
% of cases where Model 2 (correct) recovers the true zero-order direct effect for x2 = 94.3
% of cases where Model 2 (correct) recovers the true first-order total effect for x2 = 94.1
% of cases where Model 2 (correct) recovers the true first-order indirect effect for x2 = 94.1





******************************************************
Theta_1 = -.800000011920929; Theta_2 = .0099999997764826
% of cases where Model 2 (correct) recovers the true total effect for x1 = 94.4
% of cases where Model 2 (correct) recovers the true indirect effect for x1 = 95.3
% of cases where Model 2 (correct) recovers the true direct effect for x1 = 93.3
% of cases where Model 2 (correct) recovers the true zero-order direct effect for x1 = 93.3
% of cases where Model 2 (correct) recovers the true first-order total effect for x1 = 95.3
% of cases where Model 2 (correct) recovers the true first-order indirect effect for x1 = 95.3


% of cases where Model 2 (correct) recovers the true total effect for x2 = 94.3
% of cases where Model 2 (correct) recovers the true indirect effect for x2 = 93.8
% of cases where Model 2 (correct) recovers the true direct effect for x2 = 95
% of cases where Model 2 (correct) recovers the true zero-order direct effect for x2 = 95
% of cases where Model 2 (correct) recovers the true first-order total effect for x2 = 93.8
% of cases where Model 2 (correct) recovers the true first-order indirect effect for x2 = 93.8





******************************************************
Theta_1 = -.800000011920929; Theta_2 = .4000000059604645
% of cases where Model 2 (correct) recovers the true total effect for x1 = 95.7
% of cases where Model 2 (correct) recovers the true indirect effect for x1 = 95.3
% of cases where Model 2 (correct) recovers the true direct effect for x1 = 94
% of cases where Model 2 (correct) recovers the true zero-order direct effect for x1 = 94
% of cases where Model 2 (correct) recovers the true first-order total effect for x1 = 95.3
% of cases where Model 2 (correct) recovers the true first-order indirect effect for x1 = 95.3


% of cases where Model 2 (correct) recovers the true total effect for x2 = 95.2
% of cases where Model 2 (correct) recovers the true indirect effect for x2 = 95.1
% of cases where Model 2 (correct) recovers the true direct effect for x2 = 95.8
% of cases where Model 2 (correct) recovers the true zero-order direct effect for x2 = 95.8
% of cases where Model 2 (correct) recovers the true first-order total effect for x2 = 95.1
% of cases where Model 2 (correct) recovers the true first-order indirect effect for x2 = 95.1





******************************************************
Theta_1 = -.2000000029802322; Theta_2 = -.2000000029802322
% of cases where Model 2 (correct) recovers the true total effect for x1 = 93.4
% of cases where Model 2 (correct) recovers the true indirect effect for x1 = 92.9
% of cases where Model 2 (correct) recovers the true direct effect for x1 = 92.9
% of cases where Model 2 (correct) recovers the true zero-order direct effect for x1 = 92.9
% of cases where Model 2 (correct) recovers the true first-order total effect for x1 = 92.9
% of cases where Model 2 (correct) recovers the true first-order indirect effect for x1 = 92.9


% of cases where Model 2 (correct) recovers the true total effect for x2 = 95.8
% of cases where Model 2 (correct) recovers the true indirect effect for x2 = 96.2
% of cases where Model 2 (correct) recovers the true direct effect for x2 = 93.5
% of cases where Model 2 (correct) recovers the true zero-order direct effect for x2 = 93.5
% of cases where Model 2 (correct) recovers the true first-order total effect for x2 = 96.2
% of cases where Model 2 (correct) recovers the true first-order indirect effect for x2 = 96.2





******************************************************
Theta_1 = -.2000000029802322; Theta_2 = .0099999997764826
% of cases where Model 2 (correct) recovers the true total effect for x1 = 94.6
% of cases where Model 2 (correct) recovers the true indirect effect for x1 = 95
% of cases where Model 2 (correct) recovers the true direct effect for x1 = 95.9
% of cases where Model 2 (correct) recovers the true zero-order direct effect for x1 = 95.9
% of cases where Model 2 (correct) recovers the true first-order total effect for x1 = 95
% of cases where Model 2 (correct) recovers the true first-order indirect effect for x1 = 95


% of cases where Model 2 (correct) recovers the true total effect for x2 = 95.7
% of cases where Model 2 (correct) recovers the true indirect effect for x2 = 96.1
% of cases where Model 2 (correct) recovers the true direct effect for x2 = 94.6
% of cases where Model 2 (correct) recovers the true zero-order direct effect for x2 = 94.6
% of cases where Model 2 (correct) recovers the true first-order total effect for x2 = 96.1
% of cases where Model 2 (correct) recovers the true first-order indirect effect for x2 = 96.1





******************************************************
Theta_1 = -.2000000029802322; Theta_2 = .4000000059604645
% of cases where Model 2 (correct) recovers the true total effect for x1 = 95.1
% of cases where Model 2 (correct) recovers the true indirect effect for x1 = 95.4
% of cases where Model 2 (correct) recovers the true direct effect for x1 = 94.7
% of cases where Model 2 (correct) recovers the true zero-order direct effect for x1 = 94.7
% of cases where Model 2 (correct) recovers the true first-order total effect for x1 = 95.4
% of cases where Model 2 (correct) recovers the true first-order indirect effect for x1 = 95.4


% of cases where Model 2 (correct) recovers the true total effect for x2 = 94.7
% of cases where Model 2 (correct) recovers the true indirect effect for x2 = 95.1
% of cases where Model 2 (correct) recovers the true direct effect for x2 = 94.3
% of cases where Model 2 (correct) recovers the true zero-order direct effect for x2 = 94.3
% of cases where Model 2 (correct) recovers the true first-order total effect for x2 = 95.1
% of cases where Model 2 (correct) recovers the true first-order indirect effect for x2 = 95.1





******************************************************
Theta_1 = .4000000059604645; Theta_2 = -.800000011920929
% of cases where Model 2 (correct) recovers the true total effect for x1 = 95
% of cases where Model 2 (correct) recovers the true indirect effect for x1 = 94.9
% of cases where Model 2 (correct) recovers the true direct effect for x1 = 94.3
% of cases where Model 2 (correct) recovers the true zero-order direct effect for x1 = 94.3
% of cases where Model 2 (correct) recovers the true first-order total effect for x1 = 94.9
% of cases where Model 2 (correct) recovers the true first-order indirect effect for x1 = 94.9


% of cases where Model 2 (correct) recovers the true total effect for x2 = 95.5
% of cases where Model 2 (correct) recovers the true indirect effect for x2 = 95.8
% of cases where Model 2 (correct) recovers the true direct effect for x2 = 94.7
% of cases where Model 2 (correct) recovers the true zero-order direct effect for x2 = 94.7
% of cases where Model 2 (correct) recovers the true first-order total effect for x2 = 95.8
% of cases where Model 2 (correct) recovers the true first-order indirect effect for x2 = 95.8





******************************************************
Theta_1 = .4000000059604645; Theta_2 = .0099999997764826
% of cases where Model 2 (correct) recovers the true total effect for x1 = 93.6
% of cases where Model 2 (correct) recovers the true indirect effect for x1 = 94.1
% of cases where Model 2 (correct) recovers the true direct effect for x1 = 93.9
% of cases where Model 2 (correct) recovers the true zero-order direct effect for x1 = 93.9
% of cases where Model 2 (correct) recovers the true first-order total effect for x1 = 94.1
% of cases where Model 2 (correct) recovers the true first-order indirect effect for x1 = 94.1


% of cases where Model 2 (correct) recovers the true total effect for x2 = 95.6
% of cases where Model 2 (correct) recovers the true indirect effect for x2 = 96.2
% of cases where Model 2 (correct) recovers the true direct effect for x2 = 95.6
% of cases where Model 2 (correct) recovers the true zero-order direct effect for x2 = 95.6
% of cases where Model 2 (correct) recovers the true first-order total effect for x2 = 96.2
% of cases where Model 2 (correct) recovers the true first-order indirect effect for x2 = 96.2





******************************************************
Theta_1 = .4000000059604645; Theta_2 = .4000000059604645
% of cases where Model 2 (correct) recovers the true total effect for x1 = 96.9
% of cases where Model 2 (correct) recovers the true indirect effect for x1 = 96.1
% of cases where Model 2 (correct) recovers the true direct effect for x1 = 95.2
% of cases where Model 2 (correct) recovers the true zero-order direct effect for x1 = 95.2
% of cases where Model 2 (correct) recovers the true first-order total effect for x1 = 96.1
% of cases where Model 2 (correct) recovers the true first-order indirect effect for x1 = 96.1


% of cases where Model 2 (correct) recovers the true total effect for x2 = 95.4
% of cases where Model 2 (correct) recovers the true indirect effect for x2 = 95.8
% of cases where Model 2 (correct) recovers the true direct effect for x2 = 95.4
% of cases where Model 2 (correct) recovers the true zero-order direct effect for x2 = 95.4
% of cases where Model 2 (correct) recovers the true first-order total effect for x2 = 95.8
% of cases where Model 2 (correct) recovers the true first-order indirect effect for x2 = 95.8



{txt}
{com}. restore
{txt}
{com}. 
. 
. 
. *** Model 3: standard SLX (overspecified model)
. preserve
{txt}
{com}.         local m = 3
{txt}
{com}.                 
.         qui foreach x of numlist 1 2 {c -(}
{txt}
{com}. 
.         qui foreach n of numlist 1(1)`end' {c -(}


******************************************************
Theta_1 = -.800000011920929; Theta_2 = -.800000011920929
% of cases where Model 3 (overspecified) recovers the true total effect for x1 = 96.1
% of cases where Model 3 (overspecified) recovers the true indirect effect for x1 = 96.3
% of cases where Model 3 (overspecified) recovers the true direct effect for x1 = 95.1
% of cases where Model 3 (overspecified) recovers the true zero-order direct effect for x1 = 94.8
% of cases where Model 3 (overspecified) recovers the true first-order total effect for x1 = 96.4
% of cases where Model 3 (overspecified) recovers the true first-order indirect effect for x1 = 96.4
% of cases where Model 3 (overspecified) recovers the true second-order total effect for x1 = 96.3
% of cases where Model 3 (overspecified) recovers the true second-order direct effect for x1 = 96.3
% of cases where Model 3 (overspecified) recovers the true second-order indirect effect for x1 = 96.3


% of cases where Model 3 (overspecified) recovers the true total effect for x2 = 94.2
% of cases where Model 3 (overspecified) recovers the true indirect effect for x2 = 94.2
% of cases where Model 3 (overspecified) recovers the true direct effect for x2 = 94.4
% of cases where Model 3 (overspecified) recovers the true zero-order direct effect for x2 = 94.1
% of cases where Model 3 (overspecified) recovers the true first-order total effect for x2 = 93.4
% of cases where Model 3 (overspecified) recovers the true first-order indirect effect for x2 = 93.4
% of cases where Model 3 (overspecified) recovers the true second-order total effect for x2 = 94.5
% of cases where Model 3 (overspecified) recovers the true second-order direct effect for x2 = 94.5
% of cases where Model 3 (overspecified) recovers the true second-order indirect effect for x2 = 94.5





******************************************************
Theta_1 = -.800000011920929; Theta_2 = .0099999997764826
% of cases where Model 3 (overspecified) recovers the true total effect for x1 = 95
% of cases where Model 3 (overspecified) recovers the true indirect effect for x1 = 95.4
% of cases where Model 3 (overspecified) recovers the true direct effect for x1 = 93.4
% of cases where Model 3 (overspecified) recovers the true zero-order direct effect for x1 = 95.1
% of cases where Model 3 (overspecified) recovers the true first-order total effect for x1 = 95.5
% of cases where Model 3 (overspecified) recovers the true first-order indirect effect for x1 = 95.5
% of cases where Model 3 (overspecified) recovers the true second-order total effect for x1 = 94.2
% of cases where Model 3 (overspecified) recovers the true second-order direct effect for x1 = 94.2
% of cases where Model 3 (overspecified) recovers the true second-order indirect effect for x1 = 94.2


% of cases where Model 3 (overspecified) recovers the true total effect for x2 = 94.7
% of cases where Model 3 (overspecified) recovers the true indirect effect for x2 = 94.8
% of cases where Model 3 (overspecified) recovers the true direct effect for x2 = 94.8
% of cases where Model 3 (overspecified) recovers the true zero-order direct effect for x2 = 96.7
% of cases where Model 3 (overspecified) recovers the true first-order total effect for x2 = 94.2
% of cases where Model 3 (overspecified) recovers the true first-order indirect effect for x2 = 94.2
% of cases where Model 3 (overspecified) recovers the true second-order total effect for x2 = 95.3
% of cases where Model 3 (overspecified) recovers the true second-order direct effect for x2 = 95.3
% of cases where Model 3 (overspecified) recovers the true second-order indirect effect for x2 = 95.3





******************************************************
Theta_1 = -.800000011920929; Theta_2 = .4000000059604645
% of cases where Model 3 (overspecified) recovers the true total effect for x1 = 95.4
% of cases where Model 3 (overspecified) recovers the true indirect effect for x1 = 95.3
% of cases where Model 3 (overspecified) recovers the true direct effect for x1 = 94.4
% of cases where Model 3 (overspecified) recovers the true zero-order direct effect for x1 = 95.8
% of cases where Model 3 (overspecified) recovers the true first-order total effect for x1 = 95.3
% of cases where Model 3 (overspecified) recovers the true first-order indirect effect for x1 = 95.3
% of cases where Model 3 (overspecified) recovers the true second-order total effect for x1 = 95.9
% of cases where Model 3 (overspecified) recovers the true second-order direct effect for x1 = 95.9
% of cases where Model 3 (overspecified) recovers the true second-order indirect effect for x1 = 95.9


% of cases where Model 3 (overspecified) recovers the true total effect for x2 = 94.8
% of cases where Model 3 (overspecified) recovers the true indirect effect for x2 = 94.8
% of cases where Model 3 (overspecified) recovers the true direct effect for x2 = 95.6
% of cases where Model 3 (overspecified) recovers the true zero-order direct effect for x2 = 95.6
% of cases where Model 3 (overspecified) recovers the true first-order total effect for x2 = 95.1
% of cases where Model 3 (overspecified) recovers the true first-order indirect effect for x2 = 95.1
% of cases where Model 3 (overspecified) recovers the true second-order total effect for x2 = 94.6
% of cases where Model 3 (overspecified) recovers the true second-order direct effect for x2 = 94.6
% of cases where Model 3 (overspecified) recovers the true second-order indirect effect for x2 = 94.6





******************************************************
Theta_1 = -.2000000029802322; Theta_2 = -.2000000029802322
% of cases where Model 3 (overspecified) recovers the true total effect for x1 = 94.2
% of cases where Model 3 (overspecified) recovers the true indirect effect for x1 = 94
% of cases where Model 3 (overspecified) recovers the true direct effect for x1 = 92.8
% of cases where Model 3 (overspecified) recovers the true zero-order direct effect for x1 = 93.4
% of cases where Model 3 (overspecified) recovers the true first-order total effect for x1 = 93.1
% of cases where Model 3 (overspecified) recovers the true first-order indirect effect for x1 = 93.1
% of cases where Model 3 (overspecified) recovers the true second-order total effect for x1 = 93.7
% of cases where Model 3 (overspecified) recovers the true second-order direct effect for x1 = 93.7
% of cases where Model 3 (overspecified) recovers the true second-order indirect effect for x1 = 93.7


% of cases where Model 3 (overspecified) recovers the true total effect for x2 = 93.5
% of cases where Model 3 (overspecified) recovers the true indirect effect for x2 = 93.7
% of cases where Model 3 (overspecified) recovers the true direct effect for x2 = 93.6
% of cases where Model 3 (overspecified) recovers the true zero-order direct effect for x2 = 95.1
% of cases where Model 3 (overspecified) recovers the true first-order total effect for x2 = 96.2
% of cases where Model 3 (overspecified) recovers the true first-order indirect effect for x2 = 96.2
% of cases where Model 3 (overspecified) recovers the true second-order total effect for x2 = 94.8
% of cases where Model 3 (overspecified) recovers the true second-order direct effect for x2 = 94.8
% of cases where Model 3 (overspecified) recovers the true second-order indirect effect for x2 = 94.8





******************************************************
Theta_1 = -.2000000029802322; Theta_2 = .0099999997764826
% of cases where Model 3 (overspecified) recovers the true total effect for x1 = 94.2
% of cases where Model 3 (overspecified) recovers the true indirect effect for x1 = 94.3
% of cases where Model 3 (overspecified) recovers the true direct effect for x1 = 95.7
% of cases where Model 3 (overspecified) recovers the true zero-order direct effect for x1 = 95.1
% of cases where Model 3 (overspecified) recovers the true first-order total effect for x1 = 94.5
% of cases where Model 3 (overspecified) recovers the true first-order indirect effect for x1 = 94.5
% of cases where Model 3 (overspecified) recovers the true second-order total effect for x1 = 93.6
% of cases where Model 3 (overspecified) recovers the true second-order direct effect for x1 = 93.6
% of cases where Model 3 (overspecified) recovers the true second-order indirect effect for x1 = 93.6


% of cases where Model 3 (overspecified) recovers the true total effect for x2 = 96
% of cases where Model 3 (overspecified) recovers the true indirect effect for x2 = 96
% of cases where Model 3 (overspecified) recovers the true direct effect for x2 = 94.6
% of cases where Model 3 (overspecified) recovers the true zero-order direct effect for x2 = 95.7
% of cases where Model 3 (overspecified) recovers the true first-order total effect for x2 = 96.3
% of cases where Model 3 (overspecified) recovers the true first-order indirect effect for x2 = 96.3
% of cases where Model 3 (overspecified) recovers the true second-order total effect for x2 = 96.1
% of cases where Model 3 (overspecified) recovers the true second-order direct effect for x2 = 96.1
% of cases where Model 3 (overspecified) recovers the true second-order indirect effect for x2 = 96.1





******************************************************
Theta_1 = -.2000000029802322; Theta_2 = .4000000059604645
% of cases where Model 3 (overspecified) recovers the true total effect for x1 = 95.8
% of cases where Model 3 (overspecified) recovers the true indirect effect for x1 = 96
% of cases where Model 3 (overspecified) recovers the true direct effect for x1 = 94.8
% of cases where Model 3 (overspecified) recovers the true zero-order direct effect for x1 = 93.9
% of cases where Model 3 (overspecified) recovers the true first-order total effect for x1 = 95.7
% of cases where Model 3 (overspecified) recovers the true first-order indirect effect for x1 = 95.7
% of cases where Model 3 (overspecified) recovers the true second-order total effect for x1 = 95.7
% of cases where Model 3 (overspecified) recovers the true second-order direct effect for x1 = 95.7
% of cases where Model 3 (overspecified) recovers the true second-order indirect effect for x1 = 95.7


% of cases where Model 3 (overspecified) recovers the true total effect for x2 = 94.3
% of cases where Model 3 (overspecified) recovers the true indirect effect for x2 = 94.2
% of cases where Model 3 (overspecified) recovers the true direct effect for x2 = 95.1
% of cases where Model 3 (overspecified) recovers the true zero-order direct effect for x2 = 94.2
% of cases where Model 3 (overspecified) recovers the true first-order total effect for x2 = 94.7
% of cases where Model 3 (overspecified) recovers the true first-order indirect effect for x2 = 94.7
% of cases where Model 3 (overspecified) recovers the true second-order total effect for x2 = 94.6
% of cases where Model 3 (overspecified) recovers the true second-order direct effect for x2 = 94.6
% of cases where Model 3 (overspecified) recovers the true second-order indirect effect for x2 = 94.6





******************************************************
Theta_1 = .4000000059604645; Theta_2 = -.800000011920929
% of cases where Model 3 (overspecified) recovers the true total effect for x1 = 94.6
% of cases where Model 3 (overspecified) recovers the true indirect effect for x1 = 94.4
% of cases where Model 3 (overspecified) recovers the true direct effect for x1 = 94.8
% of cases where Model 3 (overspecified) recovers the true zero-order direct effect for x1 = 94.7
% of cases where Model 3 (overspecified) recovers the true first-order total effect for x1 = 94.5
% of cases where Model 3 (overspecified) recovers the true first-order indirect effect for x1 = 94.5
% of cases where Model 3 (overspecified) recovers the true second-order total effect for x1 = 95.3
% of cases where Model 3 (overspecified) recovers the true second-order direct effect for x1 = 95.3
% of cases where Model 3 (overspecified) recovers the true second-order indirect effect for x1 = 95.3


% of cases where Model 3 (overspecified) recovers the true total effect for x2 = 93.7
% of cases where Model 3 (overspecified) recovers the true indirect effect for x2 = 93.6
% of cases where Model 3 (overspecified) recovers the true direct effect for x2 = 94.5
% of cases where Model 3 (overspecified) recovers the true zero-order direct effect for x2 = 95.4
% of cases where Model 3 (overspecified) recovers the true first-order total effect for x2 = 95.8
% of cases where Model 3 (overspecified) recovers the true first-order indirect effect for x2 = 95.8
% of cases where Model 3 (overspecified) recovers the true second-order total effect for x2 = 93.8
% of cases where Model 3 (overspecified) recovers the true second-order direct effect for x2 = 93.8
% of cases where Model 3 (overspecified) recovers the true second-order indirect effect for x2 = 93.8





******************************************************
Theta_1 = .4000000059604645; Theta_2 = .0099999997764826
% of cases where Model 3 (overspecified) recovers the true total effect for x1 = 94.4
% of cases where Model 3 (overspecified) recovers the true indirect effect for x1 = 94.4
% of cases where Model 3 (overspecified) recovers the true direct effect for x1 = 93.2
% of cases where Model 3 (overspecified) recovers the true zero-order direct effect for x1 = 93.7
% of cases where Model 3 (overspecified) recovers the true first-order total effect for x1 = 94.6
% of cases where Model 3 (overspecified) recovers the true first-order indirect effect for x1 = 94.6
% of cases where Model 3 (overspecified) recovers the true second-order total effect for x1 = 94.1
% of cases where Model 3 (overspecified) recovers the true second-order direct effect for x1 = 94.1
% of cases where Model 3 (overspecified) recovers the true second-order indirect effect for x1 = 94.1


% of cases where Model 3 (overspecified) recovers the true total effect for x2 = 95.2
% of cases where Model 3 (overspecified) recovers the true indirect effect for x2 = 94.9
% of cases where Model 3 (overspecified) recovers the true direct effect for x2 = 95.4
% of cases where Model 3 (overspecified) recovers the true zero-order direct effect for x2 = 94.5
% of cases where Model 3 (overspecified) recovers the true first-order total effect for x2 = 96.4
% of cases where Model 3 (overspecified) recovers the true first-order indirect effect for x2 = 96.4
% of cases where Model 3 (overspecified) recovers the true second-order total effect for x2 = 95.5
% of cases where Model 3 (overspecified) recovers the true second-order direct effect for x2 = 95.5
% of cases where Model 3 (overspecified) recovers the true second-order indirect effect for x2 = 95.5





******************************************************
Theta_1 = .4000000059604645; Theta_2 = .4000000059604645
% of cases where Model 3 (overspecified) recovers the true total effect for x1 = 95.6
% of cases where Model 3 (overspecified) recovers the true indirect effect for x1 = 95.5
% of cases where Model 3 (overspecified) recovers the true direct effect for x1 = 95.3
% of cases where Model 3 (overspecified) recovers the true zero-order direct effect for x1 = 94.5
% of cases where Model 3 (overspecified) recovers the true first-order total effect for x1 = 96.5
% of cases where Model 3 (overspecified) recovers the true first-order indirect effect for x1 = 96.5
% of cases where Model 3 (overspecified) recovers the true second-order total effect for x1 = 95.3
% of cases where Model 3 (overspecified) recovers the true second-order direct effect for x1 = 95.3
% of cases where Model 3 (overspecified) recovers the true second-order indirect effect for x1 = 95.3


% of cases where Model 3 (overspecified) recovers the true total effect for x2 = 95
% of cases where Model 3 (overspecified) recovers the true indirect effect for x2 = 94.9
% of cases where Model 3 (overspecified) recovers the true direct effect for x2 = 95.7
% of cases where Model 3 (overspecified) recovers the true zero-order direct effect for x2 = 94.1
% of cases where Model 3 (overspecified) recovers the true first-order total effect for x2 = 96.1
% of cases where Model 3 (overspecified) recovers the true first-order indirect effect for x2 = 96.1
% of cases where Model 3 (overspecified) recovers the true second-order total effect for x2 = 94.2
% of cases where Model 3 (overspecified) recovers the true second-order direct effect for x2 = 94.2
% of cases where Model 3 (overspecified) recovers the true second-order indirect effect for x2 = 94.2



{txt}
{com}. restore
{txt}
{com}. 
. 
. 
. *** Model 4: SAR
. preserve
{txt}
{com}.         local m = 4
{txt}
{com}. 
.         qui foreach x of numlist 1 2 {c -(}
{txt}
{com}. 
.         tempvar sig_rho
{txt}
{com}.         gen `sig_rho' = cond((rho_m4 - 1.96*rho_se_m4 < 0) & (rho_m4 + 1.96*rho_se_m4 > 0), 0, 1)
{txt}
{com}.         
.         qui foreach n of numlist 1(1)`end' {c -(}


******************************************************
Theta_1 = -.800000011920929; Theta_2 = -.800000011920929
% of cases where Model 4 (SAR) recovers the true total effect for x1 = 0
% of cases where Model 4 (SAR) recovers the true indirect effect for x1 = 0
% of cases where Model 4 (SAR) recovers the true direct effect for x1 = 95
% of cases where Model 4 (SAR) recovers the true zero-order direct effect for x1 = 51.4
% of cases where Model 4 (SAR) recovers the true first-order total effect for x1 = 63.5
% of cases where Model 4 (SAR) recovers the true first-order indirect effect for x1 = 63.5
% of cases where Model 4 (SAR) recovers the true second-order total effect for x1 = 0
% of cases where Model 4 (SAR) recovers the true second-order direct effect for x1 = 0
% of cases where Model 4 (SAR) recovers the true second-order indirect effect for x1 = 0
% of cases where Model 4 (SAR) recovers the true feedback effects for x1 = 0
% of cases where Model 4 (SAR) recovers the true higher-order effects for x1 = 0


% of cases where Model 4 (SAR) recovers the true total effect for x2 = 0
% of cases where Model 4 (SAR) recovers the true indirect effect for x2 = 0
% of cases where Model 4 (SAR) recovers the true direct effect for x2 = 95.2
% of cases where Model 4 (SAR) recovers the true zero-order direct effect for x2 = 81.9
% of cases where Model 4 (SAR) recovers the true first-order total effect for x2 = 66.8
% of cases where Model 4 (SAR) recovers the true first-order indirect effect for x2 = 66.8
% of cases where Model 4 (SAR) recovers the true second-order total effect for x2 = 0
% of cases where Model 4 (SAR) recovers the true second-order direct effect for x2 = 0
% of cases where Model 4 (SAR) recovers the true second-order indirect effect for x2 = 0
% of cases where Model 4 (SAR) recovers the true feedback effects for x2 = 0
% of cases where Model 4 (SAR) recovers the true higher-order effects for x2 = 0





******************************************************
Theta_1 = -.800000011920929; Theta_2 = .0099999997764826
% of cases where Model 4 (SAR) recovers the true total effect for x1 = 0
% of cases where Model 4 (SAR) recovers the true indirect effect for x1 = 0
% of cases where Model 4 (SAR) recovers the true direct effect for x1 = 94
% of cases where Model 4 (SAR) recovers the true zero-order direct effect for x1 = 88.2
% of cases where Model 4 (SAR) recovers the true first-order total effect for x1 = 12.8
% of cases where Model 4 (SAR) recovers the true first-order indirect effect for x1 = 12.8
% of cases where Model 4 (SAR) recovers the true second-order total effect for x1 = 4.3
% of cases where Model 4 (SAR) recovers the true second-order direct effect for x1 = 4.3
% of cases where Model 4 (SAR) recovers the true second-order indirect effect for x1 = 4.3
% of cases where Model 4 (SAR) recovers the true feedback effects for x1 = 4.7
% of cases where Model 4 (SAR) recovers the true higher-order effects for x1 = 1.4


% of cases where Model 4 (SAR) recovers the true total effect for x2 = .1
% of cases where Model 4 (SAR) recovers the true indirect effect for x2 = 0
% of cases where Model 4 (SAR) recovers the true direct effect for x2 = 95
% of cases where Model 4 (SAR) recovers the true zero-order direct effect for x2 = 94.8
% of cases where Model 4 (SAR) recovers the true first-order total effect for x2 = 0
% of cases where Model 4 (SAR) recovers the true first-order indirect effect for x2 = 0
% of cases where Model 4 (SAR) recovers the true second-order total effect for x2 = 4.9
% of cases where Model 4 (SAR) recovers the true second-order direct effect for x2 = 4.9
% of cases where Model 4 (SAR) recovers the true second-order indirect effect for x2 = 4.9
% of cases where Model 4 (SAR) recovers the true feedback effects for x2 = 5
% of cases where Model 4 (SAR) recovers the true higher-order effects for x2 = 1.4





******************************************************
Theta_1 = -.800000011920929; Theta_2 = .4000000059604645
% of cases where Model 4 (SAR) recovers the true total effect for x1 = 0
% of cases where Model 4 (SAR) recovers the true indirect effect for x1 = 0
% of cases where Model 4 (SAR) recovers the true direct effect for x1 = 93.4
% of cases where Model 4 (SAR) recovers the true zero-order direct effect for x1 = 93.2
% of cases where Model 4 (SAR) recovers the true first-order total effect for x1 = 7.4
% of cases where Model 4 (SAR) recovers the true first-order indirect effect for x1 = 7.4
% of cases where Model 4 (SAR) recovers the true second-order total effect for x1 = 75.6
% of cases where Model 4 (SAR) recovers the true second-order direct effect for x1 = 75.6
% of cases where Model 4 (SAR) recovers the true second-order indirect effect for x1 = 75.6
% of cases where Model 4 (SAR) recovers the true feedback effects for x1 = 77
% of cases where Model 4 (SAR) recovers the true higher-order effects for x1 = 55.1


% of cases where Model 4 (SAR) recovers the true total effect for x2 = .1
% of cases where Model 4 (SAR) recovers the true indirect effect for x2 = 0
% of cases where Model 4 (SAR) recovers the true direct effect for x2 = 95.1
% of cases where Model 4 (SAR) recovers the true zero-order direct effect for x2 = 94.8
% of cases where Model 4 (SAR) recovers the true first-order total effect for x2 = 0
% of cases where Model 4 (SAR) recovers the true first-order indirect effect for x2 = 0
% of cases where Model 4 (SAR) recovers the true second-order total effect for x2 = 77.4
% of cases where Model 4 (SAR) recovers the true second-order direct effect for x2 = 77.4
% of cases where Model 4 (SAR) recovers the true second-order indirect effect for x2 = 77.4
% of cases where Model 4 (SAR) recovers the true feedback effects for x2 = 79.5
% of cases where Model 4 (SAR) recovers the true higher-order effects for x2 = 57





******************************************************
Theta_1 = -.2000000029802322; Theta_2 = -.2000000029802322
% of cases where Model 4 (SAR) recovers the true total effect for x1 = 99.3
% of cases where Model 4 (SAR) recovers the true indirect effect for x1 = 99.7
% of cases where Model 4 (SAR) recovers the true direct effect for x1 = 92.2
% of cases where Model 4 (SAR) recovers the true zero-order direct effect for x1 = 92.3
% of cases where Model 4 (SAR) recovers the true first-order total effect for x1 = 90.7
% of cases where Model 4 (SAR) recovers the true first-order indirect effect for x1 = 90.7
% of cases where Model 4 (SAR) recovers the true second-order total effect for x1 = 100
% of cases where Model 4 (SAR) recovers the true second-order direct effect for x1 = 100
% of cases where Model 4 (SAR) recovers the true second-order indirect effect for x1 = 100
% of cases where Model 4 (SAR) recovers the true feedback effects for x1 = 100
% of cases where Model 4 (SAR) recovers the true higher-order effects for x1 = 99.6


% of cases where Model 4 (SAR) recovers the true total effect for x2 = 98.8
% of cases where Model 4 (SAR) recovers the true indirect effect for x2 = 99.9
% of cases where Model 4 (SAR) recovers the true direct effect for x2 = 93.6
% of cases where Model 4 (SAR) recovers the true zero-order direct effect for x2 = 93.6
% of cases where Model 4 (SAR) recovers the true first-order total effect for x2 = 91
% of cases where Model 4 (SAR) recovers the true first-order indirect effect for x2 = 91
% of cases where Model 4 (SAR) recovers the true second-order total effect for x2 = 100
% of cases where Model 4 (SAR) recovers the true second-order direct effect for x2 = 100
% of cases where Model 4 (SAR) recovers the true second-order indirect effect for x2 = 100
% of cases where Model 4 (SAR) recovers the true feedback effects for x2 = 100
% of cases where Model 4 (SAR) recovers the true higher-order effects for x2 = 99.8





******************************************************
Theta_1 = -.2000000029802322; Theta_2 = .0099999997764826
% of cases where Model 4 (SAR) recovers the true total effect for x1 = 99.3
% of cases where Model 4 (SAR) recovers the true indirect effect for x1 = 99.8
% of cases where Model 4 (SAR) recovers the true direct effect for x1 = 95.9
% of cases where Model 4 (SAR) recovers the true zero-order direct effect for x1 = 95.9
% of cases where Model 4 (SAR) recovers the true first-order total effect for x1 = 91.3
% of cases where Model 4 (SAR) recovers the true first-order indirect effect for x1 = 91.3
% of cases where Model 4 (SAR) recovers the true second-order total effect for x1 = 99.9
% of cases where Model 4 (SAR) recovers the true second-order direct effect for x1 = 99.9
% of cases where Model 4 (SAR) recovers the true second-order indirect effect for x1 = 99.9
% of cases where Model 4 (SAR) recovers the true feedback effects for x1 = 99.9
% of cases where Model 4 (SAR) recovers the true higher-order effects for x1 = 99.6


% of cases where Model 4 (SAR) recovers the true total effect for x2 = 93.1
% of cases where Model 4 (SAR) recovers the true indirect effect for x2 = 92.9
% of cases where Model 4 (SAR) recovers the true direct effect for x2 = 94.8
% of cases where Model 4 (SAR) recovers the true zero-order direct effect for x2 = 94.5
% of cases where Model 4 (SAR) recovers the true first-order total effect for x2 = 95.1
% of cases where Model 4 (SAR) recovers the true first-order indirect effect for x2 = 95.1
% of cases where Model 4 (SAR) recovers the true second-order total effect for x2 = 99.9
% of cases where Model 4 (SAR) recovers the true second-order direct effect for x2 = 99.9
% of cases where Model 4 (SAR) recovers the true second-order indirect effect for x2 = 99.9
% of cases where Model 4 (SAR) recovers the true feedback effects for x2 = 99.9
% of cases where Model 4 (SAR) recovers the true higher-order effects for x2 = 99.7





******************************************************
Theta_1 = -.2000000029802322; Theta_2 = .4000000059604645
% of cases where Model 4 (SAR) recovers the true total effect for x1 = 99.3
% of cases where Model 4 (SAR) recovers the true indirect effect for x1 = 99.7
% of cases where Model 4 (SAR) recovers the true direct effect for x1 = 94.3
% of cases where Model 4 (SAR) recovers the true zero-order direct effect for x1 = 94
% of cases where Model 4 (SAR) recovers the true first-order total effect for x1 = 91.3
% of cases where Model 4 (SAR) recovers the true first-order indirect effect for x1 = 91.3
% of cases where Model 4 (SAR) recovers the true second-order total effect for x1 = 100
% of cases where Model 4 (SAR) recovers the true second-order direct effect for x1 = 100
% of cases where Model 4 (SAR) recovers the true second-order indirect effect for x1 = 100
% of cases where Model 4 (SAR) recovers the true feedback effects for x1 = 100
% of cases where Model 4 (SAR) recovers the true higher-order effects for x1 = 99.7


% of cases where Model 4 (SAR) recovers the true total effect for x2 = 67.4
% of cases where Model 4 (SAR) recovers the true indirect effect for x2 = 54.5
% of cases where Model 4 (SAR) recovers the true direct effect for x2 = 94.4
% of cases where Model 4 (SAR) recovers the true zero-order direct effect for x2 = 94.3
% of cases where Model 4 (SAR) recovers the true first-order total effect for x2 = 40.5
% of cases where Model 4 (SAR) recovers the true first-order indirect effect for x2 = 40.5
% of cases where Model 4 (SAR) recovers the true second-order total effect for x2 = 100
% of cases where Model 4 (SAR) recovers the true second-order direct effect for x2 = 100
% of cases where Model 4 (SAR) recovers the true second-order indirect effect for x2 = 100
% of cases where Model 4 (SAR) recovers the true feedback effects for x2 = 100
% of cases where Model 4 (SAR) recovers the true higher-order effects for x2 = 99.9





******************************************************
Theta_1 = .4000000059604645; Theta_2 = -.800000011920929
% of cases where Model 4 (SAR) recovers the true total effect for x1 = 65.4
% of cases where Model 4 (SAR) recovers the true indirect effect for x1 = 62.9
% of cases where Model 4 (SAR) recovers the true direct effect for x1 = 93.4
% of cases where Model 4 (SAR) recovers the true zero-order direct effect for x1 = 93.5
% of cases where Model 4 (SAR) recovers the true first-order total effect for x1 = 48.9
% of cases where Model 4 (SAR) recovers the true first-order indirect effect for x1 = 48.9
% of cases where Model 4 (SAR) recovers the true second-order total effect for x1 = 99.9
% of cases where Model 4 (SAR) recovers the true second-order direct effect for x1 = 99.9
% of cases where Model 4 (SAR) recovers the true second-order indirect effect for x1 = 99.9
% of cases where Model 4 (SAR) recovers the true feedback effects for x1 = 100
% of cases where Model 4 (SAR) recovers the true higher-order effects for x1 = 100


% of cases where Model 4 (SAR) recovers the true total effect for x2 = 10
% of cases where Model 4 (SAR) recovers the true indirect effect for x2 = 7.2
% of cases where Model 4 (SAR) recovers the true direct effect for x2 = 94.8
% of cases where Model 4 (SAR) recovers the true zero-order direct effect for x2 = 94.7
% of cases where Model 4 (SAR) recovers the true first-order total effect for x2 = 1.2
% of cases where Model 4 (SAR) recovers the true first-order indirect effect for x2 = 1.2
% of cases where Model 4 (SAR) recovers the true second-order total effect for x2 = 99.9
% of cases where Model 4 (SAR) recovers the true second-order direct effect for x2 = 99.9
% of cases where Model 4 (SAR) recovers the true second-order indirect effect for x2 = 99.9
% of cases where Model 4 (SAR) recovers the true feedback effects for x2 = 100
% of cases where Model 4 (SAR) recovers the true higher-order effects for x2 = 100





******************************************************
Theta_1 = .4000000059604645; Theta_2 = .0099999997764826
% of cases where Model 4 (SAR) recovers the true total effect for x1 = 77.5
% of cases where Model 4 (SAR) recovers the true indirect effect for x1 = 76.3
% of cases where Model 4 (SAR) recovers the true direct effect for x1 = 93.2
% of cases where Model 4 (SAR) recovers the true zero-order direct effect for x1 = 93
% of cases where Model 4 (SAR) recovers the true first-order total effect for x1 = 63.2
% of cases where Model 4 (SAR) recovers the true first-order indirect effect for x1 = 63.2
% of cases where Model 4 (SAR) recovers the true second-order total effect for x1 = 99.6
% of cases where Model 4 (SAR) recovers the true second-order direct effect for x1 = 99.6
% of cases where Model 4 (SAR) recovers the true second-order indirect effect for x1 = 99.6
% of cases where Model 4 (SAR) recovers the true feedback effects for x1 = 100
% of cases where Model 4 (SAR) recovers the true higher-order effects for x1 = 99.9


% of cases where Model 4 (SAR) recovers the true total effect for x2 = 98.8
% of cases where Model 4 (SAR) recovers the true indirect effect for x2 = 99.4
% of cases where Model 4 (SAR) recovers the true direct effect for x2 = 95.5
% of cases where Model 4 (SAR) recovers the true zero-order direct effect for x2 = 95.4
% of cases where Model 4 (SAR) recovers the true first-order total effect for x2 = 91.5
% of cases where Model 4 (SAR) recovers the true first-order indirect effect for x2 = 91.5
% of cases where Model 4 (SAR) recovers the true second-order total effect for x2 = 99.6
% of cases where Model 4 (SAR) recovers the true second-order direct effect for x2 = 99.6
% of cases where Model 4 (SAR) recovers the true second-order indirect effect for x2 = 99.6
% of cases where Model 4 (SAR) recovers the true feedback effects for x2 = 100
% of cases where Model 4 (SAR) recovers the true higher-order effects for x2 = 99.9





******************************************************
Theta_1 = .4000000059604645; Theta_2 = .4000000059604645
% of cases where Model 4 (SAR) recovers the true total effect for x1 = 89.7
% of cases where Model 4 (SAR) recovers the true indirect effect for x1 = 90
% of cases where Model 4 (SAR) recovers the true direct effect for x1 = 94.9
% of cases where Model 4 (SAR) recovers the true zero-order direct effect for x1 = 94.9
% of cases where Model 4 (SAR) recovers the true first-order total effect for x1 = 75.7
% of cases where Model 4 (SAR) recovers the true first-order indirect effect for x1 = 75.7
% of cases where Model 4 (SAR) recovers the true second-order total effect for x1 = 99.1
% of cases where Model 4 (SAR) recovers the true second-order direct effect for x1 = 99.1
% of cases where Model 4 (SAR) recovers the true second-order indirect effect for x1 = 99.1
% of cases where Model 4 (SAR) recovers the true feedback effects for x1 = 100
% of cases where Model 4 (SAR) recovers the true higher-order effects for x1 = 100


% of cases where Model 4 (SAR) recovers the true total effect for x2 = 90.2
% of cases where Model 4 (SAR) recovers the true indirect effect for x2 = 89.5
% of cases where Model 4 (SAR) recovers the true direct effect for x2 = 95.8
% of cases where Model 4 (SAR) recovers the true zero-order direct effect for x2 = 95.7
% of cases where Model 4 (SAR) recovers the true first-order total effect for x2 = 74.1
% of cases where Model 4 (SAR) recovers the true first-order indirect effect for x2 = 74.1
% of cases where Model 4 (SAR) recovers the true second-order total effect for x2 = 99.2
% of cases where Model 4 (SAR) recovers the true second-order direct effect for x2 = 99.2
% of cases where Model 4 (SAR) recovers the true second-order indirect effect for x2 = 99.2
% of cases where Model 4 (SAR) recovers the true feedback effects for x2 = 100
% of cases where Model 4 (SAR) recovers the true higher-order effects for x2 = 100



{txt}
{com}. restore
{txt}
{com}. 
. 
. 
. postclose `slx'
{txt}
{com}. 
. use "Experiments\Analyze\SLX\Analyze SLX Monte Carlo Experiments.dta", clear
{txt}
{com}. 
. 
. ***************************** Direct Effects *****************************
. list theta1 theta2 rec_deffect_o0_x1 rec_deffect_o1_x1 rec_deffect_o2_x1 rec_deffect_o0_x2 rec_deffect_o1_x2 rec_deffect_o2_x2 if model == "SAR"
{txt}
     {c TLC}{hline 8}{c -}{hline 8}{c -}{hline 10}{c -}{hline 10}{c -}{hline 10}{c -}{hline 10}{c -}{hline 10}{c -}{hline 10}{c TRC}
     {c |} {res}theta1   theta2   rec~0_x1   rec_de..   rec_de..   rec~0_x2   rec_de..   rec_de.. {txt}{c |}
     {c LT}{hline 8}{c -}{hline 8}{c -}{hline 10}{c -}{hline 10}{c -}{hline 10}{c -}{hline 10}{c -}{hline 10}{c -}{hline 10}{c RT}
 28. {c |} {res}   -.8      -.8       51.4          0          0       81.9          0          0 {txt}{c |}
 29. {c |} {res}   -.8      .01       88.2          0        4.3       94.8          0        4.9 {txt}{c |}
 30. {c |} {res}   -.8       .4       93.2          0       75.6       94.8          0       77.4 {txt}{c |}
 31. {c |} {res}   -.2      -.2       92.3          0        100       93.6          0        100 {txt}{c |}
 32. {c |} {res}   -.2      .01       95.9          0       99.9       94.5          0       99.9 {txt}{c |}
     {c LT}{hline 8}{c -}{hline 8}{c -}{hline 10}{c -}{hline 10}{c -}{hline 10}{c -}{hline 10}{c -}{hline 10}{c -}{hline 10}{c RT}
 33. {c |} {res}   -.2       .4         94          0        100       94.3          0        100 {txt}{c |}
 34. {c |} {res}    .4      -.8       93.5          0       99.9       94.7          0       99.9 {txt}{c |}
 35. {c |} {res}    .4      .01         93          0       99.6       95.4          0       99.6 {txt}{c |}
 36. {c |} {res}    .4       .4       94.9          0       99.1       95.7          0       99.2 {txt}{c |}
     {c BLC}{hline 8}{c -}{hline 8}{c -}{hline 10}{c -}{hline 10}{c -}{hline 10}{c -}{hline 10}{c -}{hline 10}{c -}{hline 10}{c BRC}

{com}. 
. ***************************** Indirect Effects *****************************
. list theta1 theta2 rec_ieffect_o1_x1 rec_ieffect_o2_x1 rec_ieffect_o1_x2 rec_ieffect_o2_x2 if model == "SAR"
{txt}
     {c TLC}{hline 8}{c -}{hline 8}{c -}{hline 10}{c -}{hline 10}{c -}{hline 10}{c -}{hline 10}{c TRC}
     {c |} {res}theta1   theta2   rec_ie..   rec_ie..   rec_ie..   rec_ie.. {txt}{c |}
     {c LT}{hline 8}{c -}{hline 8}{c -}{hline 10}{c -}{hline 10}{c -}{hline 10}{c -}{hline 10}{c RT}
 28. {c |} {res}   -.8      -.8       63.5          0       66.8          0 {txt}{c |}
 29. {c |} {res}   -.8      .01       12.8        4.3          0        4.9 {txt}{c |}
 30. {c |} {res}   -.8       .4        7.4       75.6          0       77.4 {txt}{c |}
 31. {c |} {res}   -.2      -.2       90.7        100         91        100 {txt}{c |}
 32. {c |} {res}   -.2      .01       91.3       99.9       95.1       99.9 {txt}{c |}
     {c LT}{hline 8}{c -}{hline 8}{c -}{hline 10}{c -}{hline 10}{c -}{hline 10}{c -}{hline 10}{c RT}
 33. {c |} {res}   -.2       .4       91.3        100       40.5        100 {txt}{c |}
 34. {c |} {res}    .4      -.8       48.9       99.9        1.2       99.9 {txt}{c |}
 35. {c |} {res}    .4      .01       63.2       99.6       91.5       99.6 {txt}{c |}
 36. {c |} {res}    .4       .4       75.7       99.1       74.1       99.2 {txt}{c |}
     {c BLC}{hline 8}{c -}{hline 8}{c -}{hline 10}{c -}{hline 10}{c -}{hline 10}{c -}{hline 10}{c BRC}

{com}. 
. ***************************** Higher-Order Effects *****************************
. list theta1 theta2 rec_feffect_x1 rec_heffect_x1 rec_feffect_x2 rec_heffect_x2 if model == "SAR"
{txt}
     {c TLC}{hline 8}{c -}{hline 8}{c -}{hline 10}{c -}{hline 10}{c -}{hline 10}{c -}{hline 10}{c TRC}
     {c |} {res}theta1   theta2   rec_fe~1   rec_he~1   rec_fe~2   rec_he~2 {txt}{c |}
     {c LT}{hline 8}{c -}{hline 8}{c -}{hline 10}{c -}{hline 10}{c -}{hline 10}{c -}{hline 10}{c RT}
 28. {c |} {res}   -.8      -.8          0          0          0          0 {txt}{c |}
 29. {c |} {res}   -.8      .01        4.7        1.4          5        1.4 {txt}{c |}
 30. {c |} {res}   -.8       .4         77       55.1       79.5         57 {txt}{c |}
 31. {c |} {res}   -.2      -.2        100       99.6        100       99.8 {txt}{c |}
 32. {c |} {res}   -.2      .01       99.9       99.6       99.9       99.7 {txt}{c |}
     {c LT}{hline 8}{c -}{hline 8}{c -}{hline 10}{c -}{hline 10}{c -}{hline 10}{c -}{hline 10}{c RT}
 33. {c |} {res}   -.2       .4        100       99.7        100       99.9 {txt}{c |}
 34. {c |} {res}    .4      -.8        100        100        100        100 {txt}{c |}
 35. {c |} {res}    .4      .01        100       99.9        100       99.9 {txt}{c |}
 36. {c |} {res}    .4       .4        100        100        100        100 {txt}{c |}
     {c BLC}{hline 8}{c -}{hline 8}{c -}{hline 10}{c -}{hline 10}{c -}{hline 10}{c -}{hline 10}{c BRC}

{com}. 
. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\williamslaro\Documents\Research\Projects\Spatial Methods\Spatial-X\Journal of Politics\Replication\Experiments\Analyze\SLX\Analyze SLX Monte Carlo Experiments.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res} 5 Sep 2019, 10:27:36
{txt}{.-}
{smcl}
{txt}{sf}{ul off}